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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Salesforce Data Cloud Accredited Professional Sample Questions:

1. Data Cloud receives a nightly file of all ecommerce transactions from the previous day.
Several segments and activations depend upon calculated insights from the updated data in order to maintain accuracy in the customer's scheduled campaign messages.
What should the consultant do to ensure the ecommerce data is ready for use for each of the scheduled activations?

A) Use Flow to trigger a change data event on the ecommerce data to refresh calculated insightsand segments before the activations are scheduled to run.
B) Ensure the activations are set to Incremental Activation and automatically publish every hour.
C) Ensure the segments are set to Rapid Publish and set to refresh every hour.
D) Set a refresh schedule for the calculated insights to occur every hour.

2. Which method should a consultant use when performing aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK?

A) Streaming insight
B) Formula fields
C) Calculated insight
D) Batch transform

3. What does the Source Sequence reconciliation rule do in identity resolution?

A) Identifies which individual records should be merged into a unified profile by setting a priority forspecific data sources
B) Sets the priority of specific data sources when building attributes in a unified profile, such as afirst or last name
C) Includes data from sources where the data is most frequently occurring
D) Identifies which data sources should be used in the process of reconcillation by prioritizing themost recently updated data source

4. A consultant is troubleshooting a segment error.
Which error message is solved by using calculated insights Instead of nested segments?

A) Multiple population counts are in progress.
B) Segment can't be published.
C) Segment population count failed.
D) Segment is too complex.

5. A company wants to include certain personalized fields in an email by including related attributes during the activation in Data Cloud. It notices that some values, such as purchased product names, do not have consistent casing in Marketing Cloud Engagement. For example, purchased product names appear as follows: Jacket, jacket, shoes, SHOES. The company wants to normalize all names to proper case and replace any null values with a default value.
How should a consultant fulfill this requirement within Data Cloud?

A) Create one batch data transform per data stream.
B) Create one batch data transform that creates a new DLO.
C) Create a streaming insight with a data action.
D) Use formula fields when ingesting at the data stream level.

Solutions: